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Architecture-Adaptive Code Variant Tuning:

, In: Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems,

Muralidharan, Saurav ; Roy, Amit ; Hall, Mary.. - p. 325-338 , 2016

Link: https://dl.acm.org/doi/10.1145/2872362.2872411

RT 
T1 <cTitle>Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems</cTitle>: T1 <Title>Architecture-Adaptive Code Variant Tuning</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2872411&Exemplar=1&LAN=DE
				
A1 Muralidharan, Saurav
A1 Roy, Amit
A1 Hall, Mary
A1 Garland, Michael
A1 Rai, Piyush
PB ACM
YR 2016
K1 autotuning
K1 cross-architectural tuning
K1 device feature selection
K1 input-adaptive
K1 multi-task learning
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Multi-task learning
K1 Machine learning algorithms
K1 Feature selection
K1 Computer systems organization
K1 Architectures
K1 Parallel architectures
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Software and its engineering
K1 Software organization and properties
K1 Extra-functional properties
K1 Software performance
K1 Supervised learning
SP 325
OP 338
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2872362.2872411
DO https://dl.acm.org/doi/10.1145/2872362.2872411
SF ELIB - SuUB Bremen

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